Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review | Paper Citation Record

Observation 9d577b5e-4e41-47ea-bfd8-dfb6fb4ce925 · outbound

This paper cites WHO Global status report on noncommunicable diseases 2014 URL: https://www.who.int/ nmh/publications/ncd-status-report-2014/en/ [accessed 2019-03-29] [WebCite Cache ID 77Fa8uXax].

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review WHO Global status report on noncommunicable diseases 2014 URL: https://www.who.int/ nmh/publications/ncd-status-report-2014/en/ [accessed 2019-03-29] [WebCite Cache ID 77Fa8uXax]

Reference 1

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Observation 2d91423c-862b-406d-b2e7-693cd0666c6c · outbound

This paper cites Adoption factors of the electronic health record: a systematic review.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Adoption factors of the electronic health record: a systematic review

Reference 2

Resolution: verified exact; doi, observed 2026-08-14T13:08:41.662513Z

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Observation b95bbf7f-972b-4ada-bfa6-06d9a851da43 · outbound

This paper cites Deep patient: an unsupervised representation to predict the future of patients from the electronic health records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Deep patient: an unsupervised representation to predict the future of patients from the electronic health records

Reference 3

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Observation f7b8a97b-724d-4367-828d-946e4258b1e4 · outbound

This paper cites Mining electronic health records: towards better research applications and clinical care.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Mining electronic health records: towards better research applications and clinical care

Reference 4

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This paper cites Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.022829Z

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Observation 1388b8f8-a904-4033-bd53-c1451cc0da73 · outbound

This paper cites Prediction of incident hypertension within the next year: prospective study using statewide electronic health records and machine learning.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Prediction of incident hypertension within the next year: prospective study using statewide electronic health records and machine learning

Reference 6

Resolution: verified exact; doi, observed 2026-08-14T13:08:41.525967Z

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Observation 63c1ee8c-66ba-4cba-8eaf-2d13fc647281 · outbound

This paper cites Deep learning for healthcare: review, opportunities and challenges.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Deep learning for healthcare: review, opportunities and challenges

Reference 7

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Observation 9df360db-5e60-48d5-97f8-9a1cb21e47eb · outbound

This paper cites Automated data capture from free-text radiology reports to enhance accuracy of hospital inpatient stroke codes.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automated data capture from free-text radiology reports to enhance accuracy of hospital inpatient stroke codes

Reference 9

Resolution: verified exact; doi, observed 2026-08-14T13:08:41.417439Z

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Observation 7ec2daae-64e1-44c1-9606-01f0a9d4edc2 · outbound

This paper cites Quantifying care coordination using natural language processing and domain-specific ontology.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Quantifying care coordination using natural language processing and domain-specific ontology

Reference 10

Resolution: verified exact; doi, observed 2026-08-14T13:08:41.360898Z

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Observation f83e32a9-5caf-46df-aeb4-a2c43994e504 · outbound

This paper cites A text mining approach to the prediction of disease status from clinical discharge summaries.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review A text mining approach to the prediction of disease status from clinical discharge summaries

Reference 11

Resolution: verified exact; doi, observed 2026-08-14T13:08:41.224751Z

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Observation 7cb4e6c1-0945-49c0-be61-73191a929916 · outbound

This paper cites Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance

Reference 12

Resolution: verified exact; doi, observed 2026-08-14T13:08:41.103112Z

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Observation dd2ab1ca-02ec-4894-b6ae-9659ebea5e37 · outbound

This paper cites Extracting information from the text of electronic medical records to improve case detection: a systematic review.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Extracting information from the text of electronic medical records to improve case detection: a systematic review

Reference 13

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This paper cites A review of approaches to identifying patient phenotype cohorts using electronic health records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review A review of approaches to identifying patient phenotype cohorts using electronic health records

Reference 14

Resolution: verified exact; doi, observed 2026-08-14T13:08:40.853884Z

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Observation 1dc66e5b-eb10-4ea7-affb-23924529959c · outbound

This paper cites Clinical information extraction applications: a literature review.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Clinical information extraction applications: a literature review

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.082656Z

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This paper cites Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.087366Z

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Observation 86bc6490-3c2d-4dd0-91c7-d3adadc69de0 · outbound

This paper cites Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Coronary artery disease risk assessment from unstructured electronic health records using text mining

Reference 20

Resolution: verified exact; doi, observed 2026-08-14T13:08:40.483024Z

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Observation 10d9b9ca-99b4-4a70-9635-4e67736af196 · outbound

This paper cites Monitoring prescribing patterns using regression and electronic health records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Monitoring prescribing patterns using regression and electronic health records

Reference 21

Resolution: verified exact; doi, observed 2026-08-14T13:07:14.063829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f02e46b-44a7-4cac-85bb-6b22dc2d485a · outbound

This paper cites Automated annotation and classification of BI-RADS assessment from radiology reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automated annotation and classification of BI-RADS assessment from radiology reports

Reference 22

Resolution: verified exact; doi, observed 2026-08-14T13:07:14.048182Z

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Observation a1e32b3c-2c3b-4fa8-b161-3ea1ead63e49 · outbound

This paper cites Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text

Reference 23

Resolution: verified exact; doi, observed 2026-08-14T13:07:14.033991Z

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Observation 16d2a0c6-161f-49bb-9a77-db094a3df9d4 · outbound

This paper cites Assessing occurrence of hypoglycemia and its severity from electronic health records of patients with type 2 diabetes mellitus.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Assessing occurrence of hypoglycemia and its severity from electronic health records of patients with type 2 diabetes mellitus

Reference 24

Resolution: verified exact; doi, observed 2026-08-14T13:07:14.010018Z

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Observation e0253364-824b-4403-b37c-59d9d35c877e · outbound

This paper cites Natural language processing framework to assess clinical conditions.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Natural language processing framework to assess clinical conditions

Reference 25

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.995141Z

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Observation 63570e3a-839f-4474-9c79-44165c81d865 · outbound

This paper cites Clinical review: prevalence and incidence of endocrine and metabolic disorders in the United States: a comprehensive review.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Clinical review: prevalence and incidence of endocrine and metabolic disorders in the United States: a comprehensive review

Reference 26

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.979610Z

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Observation 57ec9556-c6fc-464a-a9f5-e5ee53adcfdc · outbound

This paper cites Epidemiology of coronary heart disease and acute coronary syndrome.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Epidemiology of coronary heart disease and acute coronary syndrome

Reference 27

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.960025Z

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Observation 2813b742-2e1e-4b91-a260-a674fb36804b · outbound

This paper cites Methods to develop an electronic medical record phenotype algorithm to compare the risk of coronary artery disease across 3 chronic disease cohorts.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Methods to develop an electronic medical record phenotype algorithm to compare the risk of coronary artery disease across 3 chronic disease cohorts

Reference 28

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.936687Z

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Observation 32f2afaa-1096-4aea-bb01-cb3d49eec568 · outbound

This paper cites An automatic system to identify heart disease risk factors in clinical texts over time.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review An automatic system to identify heart disease risk factors in clinical texts over time

Reference 29

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.917014Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7ff039a4-f2b4-4b87-8d42-40bf9cf6ccfa · outbound

This paper cites Risk factor detection for heart disease by applying text analytics in electronic medical records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Risk factor detection for heart disease by applying text analytics in electronic medical records

Reference 30

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.899062Z

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Observation a32b630a-7fca-4862-b869-4c8ca59ee6b8 · outbound

This paper cites Using local lexicalized rules to identify heart disease risk factors in clinical notes.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Using local lexicalized rules to identify heart disease risk factors in clinical notes

Reference 31

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.883486Z

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Observation 76d6bbab-1e9b-4fa7-ae30-a0cdfab28326 · outbound

This paper cites A hybrid model for automatic identification of risk factors for heart disease.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review A hybrid model for automatic identification of risk factors for heart disease

Reference 32

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.869990Z

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Observation a3851c2b-19be-4fab-a1c8-1c55468da4bb · outbound

This paper cites The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs

Reference 33

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.851834Z

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Observation 22d73b09-b501-4a12-8a00-964df18a50f1 · outbound

This paper cites Automated processing of electronic medical records is a reliable method of determining aspirin use in populations at risk for cardiovascular events.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automated processing of electronic medical records is a reliable method of determining aspirin use in populations at risk for cardiovascular events

Reference 34

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Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Medication extraction from electronic clinical notes in an integrated health system: a study on aspirin use in patients with nonvalvular atrial fibrillation

Reference 35

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.821446Z

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This paper cites Unlocking echocardiogram measurements for heart disease research through natural language processing.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Unlocking echocardiogram measurements for heart disease research through natural language processing

Reference 36

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.806152Z

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Observation e88774ea-b9dd-40d3-942f-12f603a5d844 · outbound

This paper cites Automated extraction of VTE events from narrative radiology reports in electronic health records: a validation study.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automated extraction of VTE events from narrative radiology reports in electronic health records: a validation study

Reference 37

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.791461Z

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Observation 79e61353-f3c0-4385-a9a7-0f9572a50fed · outbound

This paper cites Statin intensity or achieved LDL? Practice-based evidence for the evaluation of new cholesterol treatment guidelines.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Statin intensity or achieved LDL? Practice-based evidence for the evaluation of new cholesterol treatment guidelines

Reference 38

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.770798Z

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Observation 0c1b709c-1834-4121-9728-f01a90444288 · outbound

This paper cites Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention

Reference 39

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.750571Z

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This paper cites Electronic medical records for clinical research: application to the identification of heart failure.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Electronic medical records for clinical research: application to the identification of heart failure

Reference 40

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This paper cites Information extraction from Italian medical reports: an ontology-driven approach.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Information extraction from Italian medical reports: an ontology-driven approach

Reference 41

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This paper cites Natural language processing of clinical notes for identification of critical limb ischemia.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Natural language processing of clinical notes for identification of critical limb ischemia

Reference 42

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This paper cites Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Mining peripheral arterial disease cases from narrative clinical notes using natural language processing

Reference 43

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.680647Z

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This paper cites On an extension of the generalized BGW tau-function.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review On an extension of the generalized BGW tau-function

Reference 44

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Unavailable: canonical work link unavailable.

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This paper cites Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes

Reference 45

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.661533Z

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Observation e895d3a9-e190-4f29-ac85-2215e99a4a1d · outbound

This paper cites Automatic prediction of coronary artery disease from clinical narratives.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic prediction of coronary artery disease from clinical narratives

Reference 46

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.639064Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af1c4ee8-dae4-428b-bcaa-44b57e462b32 · outbound

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Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Text mining and big data analytics for retrospective analysis of clinical texts from outpatient care

Reference 47

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.616717Z

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Observation cd3e2ffd-674b-4519-ae7a-dd62969860b6 · outbound

This paper cites HTNSystem: hypertension information extraction system for unstructured clinical notes.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review HTNSystem: hypertension information extraction system for unstructured clinical notes

Reference 48

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.601676Z

Source-reported events for the cited work

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Observation 85e68e18-9e82-4295-a580-2783f6ab7460 · outbound

This paper cites Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals

Reference 49

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.579746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 954a6dc2-e826-422d-b946-5333229d5b18 · outbound

This paper cites Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records

Reference 50

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.557498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12f4670e-e639-4801-841a-77f89c55b7f0 · outbound

This paper cites Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure

Reference 51

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.542859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6da3f755-da7b-4397-842b-66aa1d6d3806 · outbound

This paper cites Identification and progression of heart disease risk factors in diabetic patients from longitudinal electronic health records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Identification and progression of heart disease risk factors in diabetic patients from longitudinal electronic health records

Reference 52

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.517699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 977f59df-84c7-4e10-afd2-206434480f2a · outbound

This paper cites NLP based congestive heart failure case finding: a prospective analysis on statewide electronic medical records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review NLP based congestive heart failure case finding: a prospective analysis on statewide electronic medical records

Reference 53

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.499503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 359557f9-da36-4200-bbf2-cb99969f56a0 · outbound

This paper cites Extraction of left ventricular ejection fraction information from various types of clinical reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Extraction of left ventricular ejection fraction information from various types of clinical reports

Reference 54

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.480295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1cb08148-4371-44e8-b5b9-67d17fe97c07 · outbound

This paper cites Types of Heart Failure URL: https://www.heart.org/en/health-topics/heart-failure/ what-is-heart-failure/types-of-heart-failure [accessed 2019-03-30] [WebCite Cache ID 77FcIDcn5].

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Types of Heart Failure URL: https://www.heart.org/en/health-topics/heart-failure/ what-is-heart-failure/types-of-heart-failure [accessed 2019-03-30] [WebCite Cache ID 77FcIDcn5]

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.239500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91ecfae-4c79-49dd-9b1b-9875c15f9339 · outbound

This paper cites Studying associations between heart failure self-management and rehospitalizations using natural language processing.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Studying associations between heart failure self-management and rehospitalizations using natural language processing

Reference 56

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.463485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation be80f5bf-beda-4751-9687-c7809096343b · outbound

This paper cites Automating quality measures for heart failure using natural language processing: a descriptive study in the Department of Veterans Affairs.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automating quality measures for heart failure using natural language processing: a descriptive study in the Department of Veterans Affairs

Reference 57

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.448798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b990b781-977a-4af8-8bd1-24e0a19b3bcb · outbound

This paper cites Prevalence of heart failure signs and symptoms in a large primary care population identified through the use of text and data mining of the electronic health record.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Prevalence of heart failure signs and symptoms in a large primary care population identified through the use of text and data mining of the electronic health record

Reference 58

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.433079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a071cde-66bc-46e0-ae48-bfcc26d7238a · outbound

This paper cites Linking electronic health record-extracted psychosocial data in real-time to risk of readmission for heart failure.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Linking electronic health record-extracted psychosocial data in real-time to risk of readmission for heart failure

Reference 59

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.417253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d5c693a-92a0-4e09-b44a-269d830cbc65 · outbound

This paper cites Toward better public health reporting using existing off the shelf approaches: the value of medical dictionaries in automated cancer detection using plaintext medical data.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Toward better public health reporting using existing off the shelf approaches: the value of medical dictionaries in automated cancer detection using plaintext medical data

Reference 60

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.401588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c7adc60-e355-4ce9-b14e-d847a29e037c · outbound

This paper cites Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning

Reference 61

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.386893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dbf584b5-679d-4545-aee4-5aa9e341f3c2 · outbound

This paper cites Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction

Reference 62

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.373223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37cc5862-a329-44c9-8f37-e7761138edf3 · outbound

This paper cites Classifying tumor event attributes in radiology reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Classifying tumor event attributes in radiology reports

Reference 63

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.355364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 86eeedc4-e81a-4fa6-b8d0-110d08fbf039 · outbound

This paper cites Extracting important information from Chinese Operation Notes with natural language processing methods.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Extracting important information from Chinese Operation Notes with natural language processing methods

Reference 64

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.338787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 403b4b19-136d-492e-b08c-d9254463f7ba · outbound

This paper cites Analysis of free text in electronic health records for identification of cancer patient trajectories.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Analysis of free text in electronic health records for identification of cancer patient trajectories

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.296671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 649c6431-e527-43f8-b809-e1834b0c4b28 · outbound

This paper cites Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.304464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c06d22a-3668-4711-be4c-fc599779dcef · outbound

This paper cites Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction

Reference 67

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.306413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 66f0c0a8-9f88-49db-8f36-852b85a00336 · outbound

This paper cites ReCAP: feasibility and accuracy of extracting cancer stage information from narrative electronic health record data.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review ReCAP: feasibility and accuracy of extracting cancer stage information from narrative electronic health record data

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.315806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0832a505-d34e-4f75-9c4e-2aa54ee3c1c1 · outbound

This paper cites Development of automated detection of radiology reports citing adrenal findings.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Development of automated detection of radiology reports citing adrenal findings

Reference 69

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.290487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3f22a25-9f23-4afc-9d3c-fb22ddb9c69c · outbound

This paper cites Automatic structured reporting from narrative cancer pathology reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic structured reporting from narrative cancer pathology reports

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.328806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c41453db-90c4-49f2-8838-28175f2c4496 · outbound

This paper cites Automatic negation detection in narrative pathology reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic negation detection in narrative pathology reports

Reference 71

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.275937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09ce0475-264c-4f9b-9d35-5306a6a81564 · outbound

This paper cites Automatic lymphoma classification with sentence subgraph mining from pathology reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic lymphoma classification with sentence subgraph mining from pathology reports

Reference 72

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.257002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f3658f43-8b8f-4fcf-af8c-4c4e86545ec1 · outbound

This paper cites University of California, Irvine-Pathology Extraction Pipeline: the pathology extraction pipeline for information extraction from pathology reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review University of California, Irvine-Pathology Extraction Pipeline: the pathology extraction pipeline for information extraction from pathology reports

Reference 73

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.234899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 45f0bb82-ec18-4932-aed5-ad12e7f66b1b · outbound

This paper cites Automated classification of free-text pathology reports for registration of incident cases of cancer.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automated classification of free-text pathology reports for registration of incident cases of cancer

Reference 74

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.218799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33001f23-5059-4e07-acda-4e1c31213fb3 · outbound

This paper cites Smart extraction and analysis system for clinical research.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Smart extraction and analysis system for clinical research

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.355106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a2c13e6-40e5-48e7-8b17-0211a6c208a6 · outbound

This paper cites Towards generalizable entity-centric clinical coreference resolution.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Towards generalizable entity-centric clinical coreference resolution

Reference 76

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.205815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7444d161-3d81-4b64-8d4e-0d2e1dcc5659 · outbound

This paper cites Rule-based information extraction from patients' clinical data.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Rule-based information extraction from patients' clinical data

Reference 77

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.193552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0fb13deb-1d3b-4cd9-8bd0-127ebfe110b9 · outbound

This paper cites Automatic abstraction of imaging observations with their characteristics from mammography reports.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic abstraction of imaging observations with their characteristics from mammography reports

Reference 78

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.181485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2cafffd4-1647-4d2f-bf15-7bdcb0622cf2 · outbound

This paper cites Natural language processing improves identification of colorectal cancer testing in the electronic medical record.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Natural language processing improves identification of colorectal cancer testing in the electronic medical record

Reference 79

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.169698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8fb26259-f533-4184-b003-f51506bd15f5 · outbound

This paper cites 3D Hydrodynamic Simulations of Large-Scale Precessing Jets: Radio Morphology.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review 3D Hydrodynamic Simulations of Large-Scale Precessing Jets: Radio Morphology

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.380494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8550ccc8-87a0-49fc-b19e-b2ad5deeb686 · outbound

This paper cites Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Extracting data from electronic medical records: validation of a natural language processing program to assess prostate biopsy results

Reference 81

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.156960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 903be24d-85d4-4f76-bb59-05de87a8b4a3 · outbound

This paper cites Information extraction for tracking liver cancer patients' statuses: from mixture of clinical narrative report types.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Information extraction for tracking liver cancer patients' statuses: from mixture of clinical narrative report types

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.388865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51ce599f-caca-4e73-820b-3e0ff6591842 · outbound

This paper cites Natural language processing for the development of a clinical registry: a validation study in intraductal papillary mucinous neoplasms.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Natural language processing for the development of a clinical registry: a validation study in intraductal papillary mucinous neoplasms

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.393296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5290f1-7f23-46c9-aad6-e0f6f52b1ac5 · outbound

This paper cites Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse

Reference 84

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.135168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3052152f-96f0-44a3-8db0-2e1194d1eeac · outbound

This paper cites A context-aware approach for progression tracking of medical concepts in electronic medical records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review A context-aware approach for progression tracking of medical concepts in electronic medical records

Reference 85

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.118745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64a07a88-cabb-45e2-96cc-e621de4454a3 · outbound

This paper cites Extracting information from electronic medical records to identify the obesity status of a patient based on comorbidities and bodyweight measures.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Extracting information from electronic medical records to identify the obesity status of a patient based on comorbidities and bodyweight measures

Reference 86

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.105203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99509e51-4986-4f12-9665-f1519433aecf · outbound

This paper cites Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions

Reference 87

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.092089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a54d7051-f88f-4f69-bc86-e56fb06a94bc · outbound

This paper cites Towards automatic diabetes case detection and ABCS protocol compliance assessment.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Towards automatic diabetes case detection and ABCS protocol compliance assessment

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.412486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e95be0e-06cb-4399-b431-a3fd13292bdd · outbound

This paper cites an unresolved cited work.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Unresolved cited work

Reference 89

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.077638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ab58cfd-f5d1-4741-8510-7dfb38e7f6b7 · outbound

This paper cites Automatic classification of foot examination findings using clinical notes and machine learning.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic classification of foot examination findings using clinical notes and machine learning

Reference 90

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.063682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3bafeb63-2053-4a83-8f26-3f232a86f0a0 · outbound

This paper cites Lower visual acuity predicts worse utility values among patients with type 2 diabetes.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Lower visual acuity predicts worse utility values among patients with type 2 diabetes

Reference 91

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.049692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7257c396-4d0a-43c6-8856-c43804288a7d · outbound

This paper cites A high throughput semantic concept frequency based approach for patient identification: a case study using type 2 diabetes mellitus clinical notes.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review A high throughput semantic concept frequency based approach for patient identification: a case study using type 2 diabetes mellitus clinical notes

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.428241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 247d3210-3b35-426c-85ac-4873904a74fd · outbound

This paper cites Automatic quality of life prediction using electronic medical records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Automatic quality of life prediction using electronic medical records

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.435163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1b7926-e462-4696-a060-5a23426cee21 · outbound

This paper cites Identifying axial spondyloarthritis in electronic medical records of US veterans.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Identifying axial spondyloarthritis in electronic medical records of US veterans

Reference 94

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.032741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c36fa3a-0ac3-4395-8e9f-3737835804db · outbound

This paper cites Word2Vec inversion and traditional text classifiers for phenotyping lupus.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Word2Vec inversion and traditional text classifiers for phenotyping lupus

Reference 95

Resolution: verified exact; doi, observed 2026-08-14T13:07:13.012910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab63cde7-fd9a-4133-8deb-e96984f39dc8 · outbound

This paper cites Portability of an algorithm to identify rheumatoid arthritis in electronic health records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Portability of an algorithm to identify rheumatoid arthritis in electronic health records

Reference 96

Resolution: verified exact; doi, observed 2026-08-14T13:07:12.997232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b0363c4-8318-4338-804d-48b9509ab4d6 · outbound

This paper cites The utility of including pathology reports in improving the computational identification of patients.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review The utility of including pathology reports in improving the computational identification of patients

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.456200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec49a76a-0e3b-4ede-94d0-9174a252a71d · outbound

This paper cites Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Support vector feature selection for early detection of anastomosis leakage from bag-of-words in electronic health records

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.460429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cddbd26d-8908-4bea-9737-9d18f218b211 · outbound

This paper cites Defining a patient population with cirrhosis: an automated algorithm with natural language processing.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Defining a patient population with cirrhosis: an automated algorithm with natural language processing

Reference 99

Resolution: verified exact; doi, observed 2026-08-14T13:07:12.982594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dca59d68-aca6-4282-8f8c-b466640357ae · outbound

This paper cites Multiple disease risk assessment with uniform model based on medical clinical notes.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Multiple disease risk assessment with uniform model based on medical clinical notes

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.471298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b4191c-6ead-4603-a77a-3be4a0886770 · outbound

This paper cites Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression

Reference 101

Resolution: verified exact; doi, observed 2026-08-14T13:07:12.969232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 065b9f35-9f14-4b4f-a6e2-5337833dee37 · outbound

This paper cites Using electronic patient records to discover disease correlations and stratify patient cohorts.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Using electronic patient records to discover disease correlations and stratify patient cohorts

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-14T13:07:12.479359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb189ad7-0fc2-404d-a9b7-947b5c724d9e · outbound

This paper cites an unresolved cited work.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Unresolved cited work

Reference 103

Resolution: verified exact; doi, observed 2026-08-14T13:07:12.930867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8d4a2752-499c-4cf6-9c10-d7bd4949a46c · outbound

This paper cites Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review Big data driven co-occurring evidence discovery in chronic obstructive pulmonary disease patients

Reference 104

Resolution: verified exact; doi, observed 2026-08-14T13:07:12.912792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers